---
title: "Del perreo hasta el suelo y otros géneros"
output: 
  flexdashboard::flex_dashboard:
    orientation: columns
    social: menu
    source_code: embed
---

```{r, message = FALSE, echo= FALSE}
library(dplyr)
#library(magrittr)
#library(readr)
library(readxl)
#library(tidyr)
library(stringr)
library(janitor)
library(wordcloud)
library(RColorBrewer)
library(wordcloud2)
library(tm)
rm(list = ls())

`%notin%` = function(x,y) !(x %in% y)
source("funciones.R")
```

```{r, message = FALSE, echo= FALSE}
library(stopwords)
stopwords <- c(stopwords("es"), stopwords("en"))

stopwords <- c(stopwords, chartr("áéíóú", "aeiou", stopwords)) %>%
  unique()
```

geom_point
=======================================================================

```{r pressure, echo=FALSE, fig.cap="De aquí surge la idea", out.width = "40%" }
knitr::include_graphics("images/antecedente.jpeg")
```

***

#### ¿La polaridad de sentimientos en twitter se ha visto afectada por el número de casos confirmados de COVID-19?

El objetivo de este _storyboard_ es responder esa pregunta respecto a tres usuarios de twitter:

- Andres Manuel Lopez Obrador (@lopezobrador_)


Reguetón
=======================================================================


```{r message=FALSE, warning=FALSE, echo=FALSE}
df.regueton <- read_excel("data/proyecto canciones.xlsx") %>%
  clean_names() %>%
  filter(genero == "reguetón")

regueton <- procesamiento(df.regueton, stemming = FALSE,
                          exclude_stopwords = TRUE, nmin = 1)

df.processed.regueton <- regueton[[1]]
df.freq.regueton <- regueton[[2]]
```

  
Column
-------------------------------------
    
### Chart 1
    
```{r}
set.seed(1234) # for reproducibility 
wordcloud(words = df.freq.regueton$word, freq = df.freq.regueton$freq, 
          min.freq = 1, max.words=200, random.order=FALSE, 
          rot.per=0.35,        
          colors=brewer.pal(8, "Dark2"))
```
   
Column
-------------------------------------
    
### Chart 2
    
```{r}
layout(mat = matrix(c(1,2),2,1, byrow=TRUE),  height = c(1,8))
x <- df.processed.regueton$num.token
lim <- c(0, 300)

# Draw the boxplot and the histogram 
par(mar=c(0, 3.1, 1.1, 2.1))
boxplot(x, horizontal=TRUE, 
        ylim = lim, xaxt = "n" , col = "cadetblue3", 
        frame = F)
par(mar=c(4, 3.1, 1.1, 2.1))
hist(x, col = "cadetblue3", border = F, nbreaks = 10, 
     main="" , xlab = "# Token", xlim = lim)
```
    
### Chart 3

```{r}
df.processed.regueton %>%
  select(num.token) %>%
  summary()
```

```{r}
df.processed.regueton %>%
  select(cancion, num.token) %>%
  arrange(desc(num.token)) %>%
  head(5)
```

```{r}
df.processed.regueton %>%
  select(cancion, num.token) %>%
  arrange(desc(num.token)) %>%
  tail(5)
```


=======================================================================
Corridos alterados

```{r, message = FALSE, echo = FALSE}
print("hola2")
```